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A Distributed Conflict Detection and Resolution Method for Unmanned Aircraft Systems Operation in Integrated Airspace

机译:综合空域中无人飞机系统运行的分布式冲突检测与解决方法

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Recently, with the rapid development of related avionics, Unmanned Aircraft Systems (UAS) have been widely used in various fields. The current segregated operations cannot meet their increasing demand and it is expected that UAS could operate in the integrated airspace with manned aircraft. However, full integration of UAS into civil airspace is confronted with the safety challenge because their Detect and Avoid (DAA) ability is not equivalent with that of manned aircraft. As the number of aircraft grows in the shared airspace, the possibility of flight conflicts will inevitably increase. In order to ensure the safe operation of various types of aircraft, a distributed Conflict Detection and Resolution (CD&R) method for integrated operation is proposed in this paper. First, a dynamic protect zone based on time threshold in the presence of uncertainty is designed to obtain efficient separation criteria. Based on the established protect zone, the Closest Point of Approach (CPA) strategy is employed to detect potential conflicts. Additionally, two conflict risk ranking mechanisms are specifically introduced to guarantee the efficiency of subsequent multi-aircraft conflict resolution. Finally, the mixed integer programming models have been built to minimize the conflict-free trajectory deviation via the Velocity Obstacle (VO) method. Numerical results have shown the superior performance of proposed method in different scenarios.
机译:近来,随着相关航空电子设备的迅速发展,无人飞行器系统(UAS)已广泛应用于各个领域。当前的隔离行动无法满足其日益增长的需求,并且预计UAS可以在有人驾驶飞机的综合空域中运行。但是,将UAS完全集成到民用空域面临着安全挑战,因为它们的侦听和躲避(DAA)能力与有人驾驶飞机不一样。随着共享空域中飞机数量的增加,飞行冲突的可能性将不可避免地增加。为了保证各种类型飞机的安全运行,本文提出了一种用于综合运行的分布式冲突检测与解决方法。首先,设计了在不确定情况下基于时间阈值的动态保护区,以获取有效的分离标准。基于已建立的保护区,采用最近进近点(CPA)策略来检测潜在冲突。此外,专门引入了两种冲突风险分级机制,以确保后续多机冲突解决的效率。最后,已经建立了混合整数编程模型,以通过速度障碍(VO)方法最小化无冲突的轨迹偏差。数值结果表明了该方法在不同场景下的优越性能。

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